Automated Sample Scheduling & Tracking for Treatment Facilities
Automate complex water quality sample schedules. Water quality schedules can be automated based on unique needs and state or federal specific compliance regulations.
With greater visibility into your samples data, you can create accountability throughout your team and ensure a clear Chain of Custody (CoC) directly from Rio Sample Manager.
User access controls, detailed audit trails, and a centralized database create a single source of truth for defensible compliance.
Hach & Aquatic Informatics Partnership
Rio Sample Manager
Rio Sample Manager is a cloud-based Sample Scheduling & Tracking tool that automates workflows, mobile data entry, and field sampling & scheduling tools to provide a complete solution for water quality. This solution integrates with the Hach WIMS Platform for comprehensive water treatment data management.
It allows users to:
- Define their sample locations & analytes to be tested & scheduled
- Maintain a calendar that shows the status of samples at a glance
- Leverage a mobile app for further visibility into remote sample collection
- Enter or export lab results from commercial laboratories
- Centralize results for automated reporting, graphing, and modeling
Say goodbye to multiple systems, bench sheets, and spreadsheets requiring time-consuming and error-prone manual entry that creates risk.
Optimize Operations
Access and manage data, whether online or not, to find information easier, make changes, and eliminate duplicate data entry.
Ditch the Pen & Paper
Digitize water monitoring data without managing physical records to reduce overhead and share information faster.
Enhance Field Work
Use mobile data collection for personalized route sheets, with sampling points auto-loaded via GPS and custom data forms to improve route efficiency.
Get in Touch
Before WIMS, we would submit our data to operations by 3 pm; now they get the results by 9 am. That’s how big of a time-savings the software has given us. This is a significant improvement in reducing reaction times.